Marker-free indoor localization and tracking of multiple users in smart environments using a camera-based approach

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Abstract

In recent years, various indoor tracking and localization approaches for usage in conjunction with Pervasive Computing systems have been proposed. In a nutshell, three categories of localization methods can be identified, namely active marker-based solutions, passive marker-based solutions, and marker-free solutions. Both active and passive marker-based solutions require a person to carry some type of tagging item in order to function, which, for a multitude of reasons, makes them less favorable than marker-free solutions, which are capable of localizing persons without additional accessories. In this work, we present a marker-free, camera-based approach for use in typical indoor environments that has been designed for reliability and cost-effectiveness. We were able to successfully evaluate the system with two persons and initial tests promise the potential to increase the number of users that can be simultaneously tracked even further. © 2013 Springer-Verlag Berlin Heidelberg.

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Braun, A., Dutz, T., Alekseew, M., Schillinger, P., & Marinc, A. (2013). Marker-free indoor localization and tracking of multiple users in smart environments using a camera-based approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8028 LNCS, pp. 349–357). https://doi.org/10.1007/978-3-642-39351-8_38

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